I am a PhD student at the Empirical Inference Department jointly supervised by Bernhard Schölkopf, Valentin Volchkov and Peer Fischer. Before joining the MPI I have obtained a Bachelor's degree in physics from the University of Frankfurt and a Master's degree in mathematics from the University of Cambridge. Subsequently I have been working with Yury Korolev on deblurring for lightsheet microscopy in Carola Schönlieb's group at the University of Cambridge.
During my PhD I will employ machine learning methods in the context of acoustic holograms. Acoustic holograms provide the opportunity to modulate single frequency ultrasound waves into complicated intensity fields without the need of multiple ultrasound generators. The task of finding the hologram that generates a desired intensity field is a mathematically ill-posed inverse problem whose solution cannot easily be found. In addition to solving this particular problem I hope to develop machine learning based methods that can be generalised to a broader range of inverse problems.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems